Compliance, Financial Crime Controls Business Analyst, Associate Analyst, Warsaw

Financial Crime Compliance (FCC) coordinates Goldman Sachs enterprise-wide anti-money laundering (AML) economic sanctions e-communications and anti-bribery compliance efforts. The combined FCC team which is composed of professionals with extensive law enforcement regulatory legal compliance forensic consulting operations and business experience administers an array of surveillances due diligence investigative expertise and other control processes designed to identify potential money laundering terrorist financing bribery securities fraud and other violations of law.

The Know Your Customer Strategy team within Financial Crime Compliance is seeking an Associate for a compliance role with expertise in Anti-Money Laundering and Know Your Customer programs at large financial institutions. The Associate will be responsible for managingand developing compliance projects and initiatives across the firms businesses and will be responsible for liaising with compliance operations technology and business groups to advise on KYC-related questions determine system and onboarding requirements perform data and system analysis draft specification documents for technology and conduct system and user acceptance addition to advising on Know Your Customer regulations and requirements including Customer Identification Program and Customer Due Diligence requirements the Associate will also be responsible for the development of customer due diligence rules threshold setting customer segmentation and development and execution of UAT tests. The Associate should have a thorough understanding of KYC related processes and solutions including customer onboarding enhanced due diligence and customer risk rating.

The ideal candidate will have strong analytical skills experience working in KYC the ability to collaborate with others the ability to manage projects and processes and the ability to this role the Associate will work closely with compliance operations technology and business personnel and would be expected to quickly gain an understanding of the global Goldman Sachs businesses and the rules and regulations under which the firm operates.

Principal Responsibilities:

• Supporting compliance personnel in capturing analyzing and documenting requirements and process flows including drafting specification and business requirement documents for KYC processes in the Digital Finance businesses
• Assisting in the development and implementation of onboarding controls and tools including watchlist screening adverse media screening enhanced due diligence and customer refresh
• Maintain standards for KYC procedures BTL (Below the Line) testing ABL (Above the Line) testing
• Support ongoing optimization to the effectiveness of KYC monitoring systems scenarios rules and tools
• Developing and proposing recommendations to address identified issues/risks as well as areas and processes requiring optimization and improvement. Understanding trends in underlying data and advise on methodologies to detect potential suspicious activity or customers
• Defining and tracking project milestones while developing maintaining and reporting on an overall integrated delivery plan
• Working with cross-divisional partners including technology operations and business personnel through all aspects of strategic and tactical builds of critical compliance program elements
• Conduct forensic financial crime investigations of possible violations of the Bank Secrecy Act (BSA) USA PATRIOT Act and other crimes related to money laundering and terrorist financing
• Gather information identify linkages and trends and apply findings to assignments
• Utilize internal and external sources and partner with other stakeholders as necessary to research and investigate cases
• Provide feedback on KYC control effectiveness and partner with management and analysts to design enhancements and/or new approaches
• Ensuring the completion of project documentation to meet firm standards
• The role requires a degree (Bachelors/Masters) in a related field (Legal Finance Statistics Economics Computer Science Applied Mathematics Engineering or related quantitative disciplines)
• Preferably at least 3years working experience in an analytical role in a Financial Crime unit with a focus on KYC/CIP
• Proficiency in Excel (pivot tables VLookups) and PowerPoint
• Understanding of KYC risks for regulated financial institutions and/or retail banks
• Awareness and experience working with AML trends and typologies
• Ability to communicate Compliance requirements for consumption by Technology and other cross functional partners
• Effective written and verbal communication skills
• Willingness to adapt in a fast-paced work environment; strong sense of urgency
• Strong work ethic
• Technical skills (Alteryx SQL R Python Tableau)
• Understanding of KYC risks for retail banking
• Awareness and experience working with AML trends and typologies
• Experience building and enhancing existing processes
• Understanding of data structures and query languages such as SQL
• Knowledge of Data Quality and Data Analysis methodologies

Basic Qualifications:

• The role requires a degree (Bachelors/Masters) in a related field (Legal Finance Statistics Economics Computer Science Applied Mathematics Engineering or related quantitative disciplines)
• Preferably at least 3years working experience in an analytical role in a Financial Crime unit with a focus on KYC/CIP
• Proficiency in Excel (pivot tables VLookups) and PowerPoint
• Understanding of KYC risks for regulated financial institutions and/or retail banks
• Awareness and experience working with AML trends and typologies
• Ability to communicate Compliance requirements for consumption by Technology and other cross functional partners
• Effective written and verbal communication skills
• Willingness to adapt in a fast-paced work environment; strong sense of urgency
• Strong work ethic

Preferred Qualifications:

• Technical skills (Alteryx SQL R Python Tableau)
• Understanding of KYC risks for retail banking
• Awareness and experience working with AML trends and typologies
• Experience building and enhancing existing processes
• Understanding of data structures and query languages such as SQL
• Knowledge of Data Quality and Data Analysis methodologies